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Reversible and Irreversible Processes01:14

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The thermodynamic processes can be classified into reversible and irreversible processes. The processes that can be restored to their initial state are called reversible processes. It is only possible if the process is in quasi-static equilibrium, i.e., it takes place in infinitesimally small steps, and the system remains at equilibrium However, these are ideal processes and do not occur naturally. An ideal system undergoing a reversible process is always in thermodynamic equilibrium within...
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EDTA titrations may necessitate masking and demasking agents to temporarily protect a particular metal ion in a mixture from the EDTA reaction. These agents facilitate the sequential analysis of the metal ions by forming stable complexes with some—but not all—metal ions during certain steps.
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Electrocyclic reactions, cycloadditions, and sigmatropic rearrangements are concerted pericyclic reactions that proceed via a cyclic transition state. These reactions are stereospecific and regioselective. The stereochemistry of the products depends on the symmetry characteristics of the interacting orbitals and the reaction conditions. Accordingly, pericyclic reactions are classified as either symmetry-allowed or symmetry-forbidden. Woodward and Hoffmann presented the selection criteria for...
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相关实验视频

Updated: Jul 15, 2025

3D Scanning Technology Bridging Microcircuits and Macroscale Brain Images in 3D Novel Embedding Overlapping Protocol
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一个基于整数-可逆Krawtchouk转换的新型3D可逆数据隐藏方案,用于IoMT.

Mohamed Yamni1, Achraf Daoui2, Paweł Pławiak3,4

  • 1Dhar El Mahrez Faculty of Science, Sidi Mohamed Ben Abdellah-Fez University, Fez 30000, Morocco.

Sensors (Basel, Switzerland)
|September 28, 2023
PubMed
概括

我们开发了一个整数和可逆的Krawtchouk变换 (IRKT) 进行无损图像处理. 这使得新的3D可逆数据隐藏 (RDH) 算法能够在医疗物联网 (IoMT) 中安全存储和传输医疗数据.

关键词:
整数可逆的克拉特乔克变换 (IRKT)医疗事物的互联网 (IoMT)可逆数据隐藏 (RDH) 的方法安全的存储和传输.

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科学领域:

  • 数字图像处理 数字图像处理
  • 数据安全与隐私数据安全与隐私
  • 医疗成像医学成像

背景情况:

  • 浮点Krawtchouk转换在图像处理中由于有限的显著数字而遭受圆形错误.
  • 现有的二维可逆数据隐藏 (RDH) 算法对大规模的医学图像数据有局限性.
  • 医疗物联网 (IoMT) 需要安全的方法来存储和传输大量的医疗数据.

研究的目的:

  • 引入一个整数和可逆的Krawtchouk变换 (IRKT),以克服图像处理中的圆化错误.
  • 提出基于IRKT的新型3DRDH算法,用于安全地将医疗数据嵌入IoMT.
  • 提高医疗数据存储和传输在IoMT部门的安全性和效率.

主要方法:

  • 开发了一个整数和可逆的Krawtchouk变换 (IRKT),生成整数系数.
  • 设计了一个3D RDH算法,利用IRKT将数据嵌入到3D医学图像中.
  • 进行了广泛的实验评估,以评估嵌入能力,不可察觉性和安全性.

主要成果:

  • 拟议的IRKT产生整数系数,适用于无损图像应用.
  • 基于IRKT的3D RDH算法在不增加原始图像大小的情况下实现了高嵌入容量.
  • 该算法展示了对统计攻击的不知觉性和弹性,优于传统的2D RDH方法.

结论:

  • 在Krawtchouk变换应用程序中,IRKT有效地解决了圆形错误.
  • 新的3D RDH算法为IoMT中的医疗数据提供了安全有效的解决方案.
  • 这种方法提高了大规模医疗数据存储和传输的数据安全性和完整性.